Research on Real-Time Anomaly Detection of Fishing Vessels in a Marine Edge Computing Environment

Algorithm 1

Historical trajectory modeling.

	Input:
	historical trajectory set
	Output:
	normal trajectory model
	Begin
(1)	discover frequent regions
(2)	get subtrajectories by dividing the training set
(3)	for eachdo
(4)	extract trajectory features
(5)	build normal trajectory model
(6)	return
	End